Literature DB >> 34419685

Differential Immune-Related Microenvironment Determines Programmed Cell Death Protein-1/Programmed Death-Ligand 1 Blockade Efficacy in Patients With Advanced NSCLC.

Masayuki Shirasawa1, Tatsuya Yoshida2, Yukiko Shimoda1, Daisuke Takayanagi3, Kouya Shiraishi3, Takashi Kubo4, Sachiyo Mitani4, Yuji Matsumoto1, Ken Masuda1, Yuki Shinno1, Yusuke Okuma1, Yasushi Goto1, Hidehito Horinouchi1, Hitoshi Ichikawa4, Takashi Kohno3, Noboru Yamamoto5, Shingo Matsumoto6, Koichi Goto6, Shun-Ichi Watanabe7, Yuichiro Ohe1, Noriko Motoi8.   

Abstract

INTRODUCTION: Programmed death-ligand 1 (PD-L1) expression is not a completely reliable predictive marker of the efficacy of anti-programmed cell death protein-1 (PD-1)/PD-L1 therapy in patients with advanced NSCLC. Immune-related tumor microenvironment (TME) is classified into four different types based on the tumor-infiltrating lymphocyte (TIL) status and PD-L1 expression.
METHODS: We retrospectively reviewed patients with advanced NSCLC treated with anti-PD-1/PD-L1 therapy between 2015 and 2019. We investigated the association between the efficacy of anti-PD-1/PD-L1 therapy, the types of TME based on PD-L1 (clone: 22C3) expression, the density of CD8-positive TILs assessed by immunohistochemistry, and mutational profiles by next-generation sequencing.
RESULTS: Overall, 228 patients were included in the analysis. The patients were classified into the following four groups: type I: PD-L1High (tumor proportion score ≥ 50%)/TILHigh (≥85/mm2; n = 73); type II: PD-L1Low (tumor proportion score < 50%)/TILLow (<85/mm2; n = 70); type III: PD-L1High/TILLow (n = 37); and type IV: PD-L1Low/TILHigh (n = 48). The objective response rate (ORR) and progression-free survival (PFS) of anti-PD-1/PD-L1 therapy clearly differed according to the different TME types (ORR and PFS; type I: 64%, 14.5 mo; type II: 12%, 2.1 mo; type III: 24%, 3.6 mo; type IV; 41%, 10.8 mo). In patients with PD-L1High tumors, type I tumors had significantly better ORR and PFS than type III tumors (ORR: p < 0.001 and PFS: p < 0.001). The presence of TP53 and KRAS mutation was related to the density of CD8-positive TILs and PD-L1 expression, respectively.
CONCLUSIONS: Differential types of TME, including PD-L1 expression and TIL status, could accurately predict the efficacy of anti-PD-1/PD-L1 therapy.
Copyright © 2021 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anti–PD-1/PD-L1 (programmed death-1/programmed death-ligand 1) antibodies; Non–small lung cell cancer (NSCLC); The density of CD8-positive tumor-infiltrating lymphocytes (TILs); Tumor microenvironment (TME)

Mesh:

Substances:

Year:  2021        PMID: 34419685     DOI: 10.1016/j.jtho.2021.07.027

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  7 in total

1.  The PD-1 with PD-L1 Axis Is Pertinent with the Immune Modulation of Atrial Fibrillation by Regulating T Cell Excitation and Promoting the Secretion of Inflammatory Factors.

Authors:  Guodong Chang; Yingwei Chen; Zichang Liu; Yong Wang; Wenkun Ge; Yongan Kang; Shuling Guo
Journal:  J Immunol Res       Date:  2022-05-12       Impact factor: 4.493

2.  High farnesoid X receptor expression predicts favorable clinical outcomes in PD‑L1low/negative non‑small cell lung cancer patients receiving anti‑PD‑1‑based chemo‑immunotherapy.

Authors:  Lina Wang; Xiaolong Xu; Bin Shang; Jian Sun; Bin Liang; Xingguang Wang; Wenjie You; Shujuan Jiang
Journal:  Int J Oncol       Date:  2022-02-25       Impact factor: 5.650

Review 3.  The key to immunotherapy: how to choose better therapeutic biomarkers for patients with non-small cell lung cancer.

Authors:  Yue Pan; Yucheng Fu; Yue Zeng; Xiaohan Liu; Yurong Peng; Chunhong Hu; Chao Deng; Zhenhua Qiu; Jian Zou; Yuxuan Liu; Fang Wu
Journal:  Biomark Res       Date:  2022-03-07

Review 4.  Daily Practice Assessment of KRAS Status in NSCLC Patients: A New Challenge for the Thoracic Pathologist Is Right around the Corner.

Authors:  Christophe Bontoux; Véronique Hofman; Patrick Brest; Marius Ilié; Baharia Mograbi; Paul Hofman
Journal:  Cancers (Basel)       Date:  2022-03-23       Impact factor: 6.639

Review 5.  Predictive Markers for Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer.

Authors:  Ryota Ushio; Shuji Murakami; Haruhiro Saito
Journal:  J Clin Med       Date:  2022-03-27       Impact factor: 4.241

6.  PMS2 Expression With Combination of PD-L1 and TILs for Predicting Survival of Esophageal Squamous Cell Carcinoma.

Authors:  Dongxian Jiang; Qi Song; Xiaojun Wei; Zixiang Yu; Yufeng Liu; Haixing Wang; Xingxing Wang; Jie Huang; Jieakesu Su; Yang Hong; Yifan Xu; Chen Xu; Yingyong Hou
Journal:  Front Oncol       Date:  2022-07-05       Impact factor: 5.738

7.  Liquid Biopsy and the Translational Bridge from the TIME to the Clinic.

Authors:  Paul Walker
Journal:  Cells       Date:  2022-10-03       Impact factor: 7.666

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.